def combine_labeled_data():
fname_neg = DATA_ROOT + "filtered/bdv2/baidu_rel.tsvwb"
fname_pos = DATA_ROOT + "filtered/bdv2/baidu_sim.tsvwb"
fname_all = DATA_ROOT + "filtered/bdv2/baidu_qq.tsv"
result = []
dict = set()
cont1 = util.readlines_from_file(fname_neg)
idx, tot = 0, 0
while idx < (len(cont1) - 1):
vals = cont1[idx].split("\t")
idx += 1
if not len(vals) == 2:
continue
w1 = cleanup(vals[0])
w2 = cleanup(vals[1])
if not check_negative(w1, w2):
continue
dict.add(w1)
dict.add(w2)
result.append(w1 + "\t" + w2 + "\t0\n")
tot += 1
cont2 = util.readlines_from_file(fname_pos)
idx = 0
while idx < min(len(cont2), tot): # not too many pos
vals = cont2[idx].split("\t")
idx += 1
if not len(vals) == 2:
continue
w1 = cleanup(vals[0])
w2 = cleanup(vals[1])
idx += 1
#if not w1 in dict and not w2 in dict:
# continue
result.append(w1 + "\t" + w2+ "\t1\n")
random.shuffle(result)
with codecs.open(fname_all, "w", "gbk") as fw:
for res in result:
fw.write(res)
idx = 0
with codecs.open(fname_all+".new", "w", "gbk") as f1:
while idx < 1*len(result):
f1.write(result[idx])
idx += 1
'''with codecs.open(fname_all+".2", "w", "gbk") as f1:
def read_data(fname):
lines = util.readlines_from_file(fname)
data = []
for line in lines:
vals = line.split(" ")
data.append(vals[0].strip())
return data
def load(self):
"""
ファイル `crontab` を読み込む.
"""
self._judges = []
content = util.readlines_from_file(Crontab.FILENAME)
for line in content:
self._load_one_line(line)
if len(self._judges)==0:
log.info('The `crontab` file has no settings.')
def intercept():
idx = data_vote()
data = util.readlines_from_file(DATA_ROOT + "filtered/bdv2/baidu_qq.tsv.new")
fw = open(DATA_ROOT + "filtered/bdv2/join.tsv", "w")
for i in range(len(idx)):
line = idx[i].strip().replace("__label__", "")
if len(line) == 0:
continue
label = data[i].strip().split("\t")[2]
if label == line:
fw.write(data[i] +"\n")
fw.close()
def gen_label():
fname1 = "C:\\Workspace\\Data\\wenda\\filtered\\bdv2\\odmodel_newdata\\baidu_qq.tsv.new"
fname2 = "C:\\Workspace\\Data\\wenda\\filtered\\bdv2\\odmodel_newdata\\pred.tsv2"
data1 = util.readlines_from_file(fname1)
data2 = util.readlines_from_file(fname2)
c1, c2 = [], []
for d1 in data1:
vals = d1.split("\t")
if not len(vals) == 3:
continue
c1.append(vals[2])
for d2 in data2:
vals = d2.split("\t")
if not len(vals) == 2:
continue
c2.append(vals[1])
if not len(c1) == len(c2):
print "wrong"
with open(fname1 + ".label", "w") as fw:
for i in range(len(c1)):
fw.write(c1[i] + "\t" + c2[i] + "\n")
def iconv(f1, f2, enfrom="utf-8", ento="gbk"):
with open(f2, "w") as fw:
lines= util.readlines_from_file(f1)
for line in lines:
#line = line.strip().replace(" ", ",").replace("\n", ",") + "\n"
line = re.sub(",+", ",", line)
#if not "\t" in line or len(line) == 1 or line.count("\t") > 1:
# continue
try:
s = change_encoding(line, enfrom, ento)
except Exception as e:
print(e.message, line)
continue
fw.write(s + "\n")
def get_qq_es(fname):
data = util.readlines_from_file(fname)
with open(fname + ".qq", "w") as fw:
q1, q2 = "", ""
for line in data:
line = line.strip()
if line.startswith("input:"):
q1 = line[len("input:"):]
else:
if len(line) == 0:
continue
idx = line.rfind(" ")
q2 = line[0:idx]
fw.write(q1 + "\t" + q2 + "\t-1\n")
def proc_score():
fname = "C:\\Workspace\\Data\\wenda\\filtered\\bdv2\\odmodel_newdata\\pred.tsv"
data = util.readlines_from_file(fname)
with open(fname + "2", "w") as fw:
for line in data:
vals = line.split("\t")
if len(vals) <= 1:
continue
lab = int(vals[0])
if lab == 1:
fw.write(line + "\n")
else:
s1 = (float)(vals[1])
s2 = 1 - s1
fw.write("0\t" + str(s2) + "\n")
def gen_questions():
content = util.readlines_from_file(DATA_ROOT + "/qclick/wenda_q2q_v2.dat")
dedup = set()
with open(DATA_ROOT + "/qclick/wenda_questions.txt", "w") as fw:
for line in content:
vals = line.split("\t")
if not len(vals) == 2:
continue
if len(vals[1]) <= wenda_proc.MIN_COUNT_Q or len(vals[1]) >= wenda_proc.MAX_COUNT_Q:
continue
if vals[1] in dedup:
#print("dup " + vals[1])
continue
dedup.add(vals[1])
fw.write(vals[1] + "\n")
